Job Description
Summary :
A growing neurotech organization in the Bay Area is seeking an Applied AI Scientist to develop advanced machine learning models for complex, high-dimensional data. This position focuses on designing and optimizing transformer architectures and other AI systems for real-time and large-scale applications.
Hybrid 3x / week
Key Responsibilities :
- Build and refine transformer-based and other ML models for sequence and signal data.
- Develop scalable pipelines for training, inference, and deployment.
- Evaluate emerging AI research and adapt relevant methods for internal use.
- Collaborate with engineering and data teams to integrate models into production systems.
- Maintain reproducible workflows with clear documentation and version control.
- Contribute to quality and process standards supporting robust ML development.
Qualifications :
Bachelor’s in Computer Science or related field.5+ years of professional experience in machine learning or applied AI.Proven track record building and deploying ML models in distributed or GPU-accelerated environments.Strong proficiency in Python and PyTorch.Experience with transformer architectures and high-dimensional time-series data.Visa transfers can be supported.